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Davide Piras

The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison

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May 21, 2024
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A representation learning approach to probe for dynamical dark energy in matter power spectra

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Oct 16, 2023
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A robust estimator of mutual information for deep learning interpretability

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Oct 31, 2022
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Fast and realistic large-scale structure from machine-learning-augmented random field simulations

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May 16, 2022
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Discovering the building blocks of dark matter halo density profiles with neural networks

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Mar 16, 2022
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Towards fast machine-learning-assisted Bayesian posterior inference of realistic microseismic events

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Jan 12, 2021
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Learning to Noise: Application-Agnostic Data Sharing with Local Differential Privacy

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Oct 23, 2020
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